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MedTech & Wearables
MedTech Innovations
Real-time Medical Imaging Analysis
Specialized FPGA accelerator for real-time MRI anomaly detection with 99.4% accuracy.
Diagnostic Accuracy
99.4%
Analysis Speed
10x Faster
MedTech Innovations
Overview
Developed a specialized FPGA accelerator card that plugs into standard MRI machines, running proprietary neural networks to highlight potential anomalies in real-time as the scan is being performed.
FPGA Design
Custom RTL on Xilinx UltraScale+ devices with optimized memory controllers for handling high-bandwidth imaging data streams.
Results
Achieved 99.4% diagnostic accuracy at 10x faster analysis speed.
Deep Tech FAQ
How was custom hardware leveraged for MedTech Innovations?+
By transitioning from generic hardware to a custom edge architecture, we significantly reduced processing latency and improved overall thermal and power efficiency.
What are the core technical benefits of this edge deployment?+
The primary benefits include real-time inference without cloud dependency, enhanced data privacy, and drastic reductions in operational bandwidth costs.
Can this architecture be adapted for other use cases?+
Absolutely. The underlying Neural Fabric Methodology used here is highly modular and can be retargeted for various industrial and enterprise edge applications.
Project Profile
Services Delivered
FPGA DesignHardware Design
Core Technologies
Verilog/VHDLComputer VisionSignal Processing
Silicon & Vendors
XilinxIntel
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